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Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data
Subspace clustering has been gaining increasing attention in recent years due to its promising ability in dealing with high-dimensional data. However, most of the existing subspace clustering methods tend to only exploit the subspace information to construct a single affinity graph (typically for sp...
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| Publicado no: | Advances in Knowledge Discovery and Data Mining |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7206270/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-47426-3_26 |
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